I have a data set called regional_regression
, as below.
regional_regression
$`East Asia & Pacific (all income levels)`
(Intercept) gdpcap
48.180966940 -0.001276384
$`Europe & Central Asia (all income levels)`
(Intercept) gdpcap
28.8153087170 -0.0005021196
$`Latin America & Caribbean (all income levels)`
(Intercept) gdpcap
59.706105856 -0.003207999
$`Middle East & North Africa (all income levels)`
(Intercept) gdpcap
54.6225615193 -0.0008088255
$`North America`
(Intercept) gdpcap
32.444196028 -0.000599279
$`South Asia`
(Intercept) gdpcap
109.71477941 -0.02396868
$`Sub-Saharan Africa (all income levels)`
(Intercept) gdpcap
105.434754813 -0.006815668
I want to get this data in an orderly table, and sort by the column that will be called "Coefficient".
regional_regressional <- regional_regression %>% as.data.frame()
regional_regression_table <- t(regional_regressional)
col_names <- c("Intercept", "Coefficient")
colnames(regional_regression_table) <- col_names
Since it seems that I am dealing with a matrix, I keep getting errors when I've tried things like:
regional_regression_table[order(regional_regression_table$Coefficient),]
regional_regression_table[order(regional_regression_table[,"V2"]),]
setorder(regional_regression_table, -Coefficient)
Any insight is much appreciated!
If Coefficient is your second column in matrix
then you just do the following. Since it is a matrix
, you order
it using column number.
regional_regression_table[order(regional_regression_table[,2]),]
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